Replacing a 6–8 hour manual export cycle with a single-click Revit API add-in — intelligent batch processing and automated data extraction for multi-discipline coordination.
In large-scale construction projects, coordination between architectural, structural, and MEP disciplines requires constant exchange of drawings and data. Traditional manual export processes were consuming significant team resources and introducing errors that rippled through the entire project lifecycle.
I developed a custom Revit add-in using C# and the Revit API that automates the entire export workflow. The tool intelligently processes views in batches, applies consistent naming conventions, and extracts schedule data directly to structured CSV files.
Automatically identifies exportable views and filters out irrelevant content based on discipline rules.
Generates consistent file names based on configurable project standards and discipline prefixes.
Extracts schedule data to CSV with proper formatting, headers, and data validation.
Handles hundreds of views efficiently with real-time progress tracking and status updates.
Comprehensive logging with graceful failure recovery — never halts the entire batch.
Customizable settings for different project requirements without code changes.
// Batch export views to DWG format
public void ExportViewsToDWG(List<View> views, string outputPath)
{
using (Transaction trans = new Transaction(doc, "Export Views"))
{
trans.Start();
foreach (var view in views)
{
var fileName = GenerateFileName(view);
var exportOpts = new DWGExportOptions();
doc.Export(outputPath, fileName, exportOpts);
LogProgress(view.Name);
}
trans.Commit();
}
}The automation tool transformed the coordination workflow, delivering immediate and measurable benefits to the project team.
Analyzed existing workflow, identified pain points, and designed solution architecture with stakeholder input.
Built batch export functionality and intelligent naming logic using the Revit API.
Created user-friendly WPF interface with MVVM pattern, progress tracking, and configuration panels.
Conducted user acceptance testing, refined based on feedback, and deployed to the project team.
// Batch processing with error recovery
public async Task ProcessBatch(IList<View> views)
{
int success = 0, failed = 0;
foreach (var view in views)
{
try {
await ExportSingle(view);
success++;
ReportProgress(success, views.Count);
}
catch (Exception ex) {
failed++;
Logger.Warn($"Skip {view.Name}: {ex.Message}");
}
}
}